Training Grant in Genomic Analysis and Interpretation

描述：（由申请人提供）将人类收集的数据 基因组计划是人类历史上最大的科学挑战之一。 21世纪世纪。现在大量的DNA序列数据和蛋白质数据 没有计算机就无法访问、操作或分析收集的数据。 然而，最大的瓶颈涉及软件而不是硬件。在 尽管目前的复杂程度，我们仍然缺乏足够的理论， 可靠地执行诸如识别基因等基本任务的算法 边界这将需要新一代的科学家在这两个方面的培训， 生物和数学科学，以推动我们国家的基因组 施政纲要的演讲很少有大学有基础设施和人力资源来建立一个 基因组学培训计划的范围可能在加州大学洛杉矶分校。培训补助金 将汇集来自4个不同的学校和15个部门的教师在 大学，以解决目前在科学培训的差距。它会训练 基因组学分析领域的博士前和博士后学生， 解释。

DESCRIPTION: (provided by applicant) Turning the data collected by the Human Genome Project into knowledge is one of the biggest scientific challenges of the 21st Century. The enormous volume of DNA sequence data and protein data now collected cannot be accessed, manipulated, or analyzed without computers. However, the greatest bottlenecks involve software rather than hardware. In spite of current levels of sophistication, we still lack adequate theory and algorithms to reliably perform such fundamental tasks as recognizing gene boundaries. It will take a new generation of scientists trained in both the biological and mathematical sciences to push forward our nation's genomic agenda. Few universities have the infrastructure and human resources to mount a genomics training program of the scope possible at UCLA. This training grant will bring together faculty from 4 different schools and 15 departments in the university to address the current gap in scientific training. It will train both predoctoral and postdoctoral students in the art of genomics analysis and interpretation.